A two-stage stochastic programming approach for project planning with uncertain activity durations

Zhu, Guidong; Bard, Jonathan F.; Yu, Gang

doi:10.1007/s10951-007-0008-x

Cited by 43 publications

(16 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Ch. 4 Is there any comparative data between observed and estimated durations? Ch.5 Are data well enough and carefully selected, so as to represent the duration of a task in crucial time points, i.e., 30%, 50%, 70% task completion, according to S-curves?…”

Section: Information System Designmentioning

confidence: 99%

“…Some of the most cited research works, e.g., [2], [3], refer to the parallel examination of time and cost, in a manner that cost affects duration and vice versa. There is also a group of research papers, e.g., [4], where duration is correlated with resource sufficiency and other significant and sophisticated research topics, such as the RCMPSP problem. But, such problems exceed the scope of this paper, although they have been examined by the authors in the recent past [5].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Conceptual Grey Analysis Method for Construction Projects

Chatzimichailidou¹,

Katsavounis²,

Lukac³

2015

ManageFon

View full text Add to dashboard Cite

Section: Information System Designmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Conceptual Grey Analysis Method for Construction Projects

Chatzimichailidou¹,

Katsavounis²,

Lukac³

2015

ManageFon

View full text Add to dashboard Cite

“…The SP model is solved using a decomposition-based approach which allows decoupling the different scenario problems and proves to be capable of solving for the first time in the literature, many large and hard test instances in reasonable computational time using modest memory requirements. Zhu et al (2007) also study the static two-stage SP approach for the problem of setting target finish times (due dates) for activities in a project network under time-cost tradeoffs and stochastic activity durations. The authors study the budget-constrained version of the problem using a heuristic methodology and report computational results for test instances consisting of 90 activities.…”

Section: Literature Reviewmentioning

confidence: 99%

“…For a special case involving only one renewable resource (the budget) a twostage integer linear stochastic program has been proposed in Zhu et al (2007), where target times are determined in the first stage, whereas in the second stage a deviation from this target is allowed. The objective is to balance the cost of project completion as a function of activity target times with the expected penalty related to possible deviations from the target.…”

Section: Literature Reviewmentioning

confidence: 99%

Robust Optimization for the Discrete Time-Cost Tradeoff Problem with Cost Uncertainty

Hazır

Haouari

Erel

2014

Handbook on Project Management and Scheduling Vol. 2

View full text Add to dashboard Cite

This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. Exempted from this legal reservation are brief excerpts in connection with reviews or scholarly analysis or material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work. Duplication of this publication or parts thereof is permitted only under the provisions of the Copyright Law of the Publisher's location, in its current version, and permission for use must always be obtained from Springer. Permissions for use may be obtained through RightsLink at the Copyright Clearance Center. Violations are liable to prosecution under the respective Copyright Law. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. While the advice and information in this book are believed to be true and accurate at the date of publication, neither the authors nor the editors nor the publisher can accept any legal responsibility for any errors or omissions that may be made. The publisher makes no warranty, express or implied, with respect to the material contained herein.Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com) PrefaceThis handbook is devoted to scientific approaches to the management and scheduling of projects. Due to their practical relevance, project management and scheduling have been important subjects of inquiry since the early days of Management Science and Operations Research and remain an active and vibrant field of study. The handbook is meant to provide an overview of some of the most active current areas of research. Each chapter has been written by well-recognized scholars, who have made original contributions to their topic. The handbook covers both theoretical concepts and a wide range of applications. For our general readers, we give a brief introduction to elements of project management and scheduling in the first chapter, where we also survey the contents of this book. We believe that the handbook will be a valuable and comprehensive reference to researchers and practitioners in project management and scheduling and hope that it might stimulate further research in this exciting and practically important field.Short-listing and selecting the contributions to this handbook and working with more than one hundred authors have been a challenging and rewarding experience for us. We are grateful to Günter Sch...

show abstract

“…Choi et al (2004) proposed a novel way of addressing the uncertainties in the rc-PSP including the uncertainties in task durations and costs, as well as uncertainties in the results of tasks (successor failure) by using a discrete time Markov chain. Zhu et al (2007) investigated a two-stage stochastic programming approach for project planning with uncertain activity durations. Though probability theory has been applied to project scheduling problem successfully and the problem with stochastic assumptions has got a great number of applications, sometimes activity duration times cannot just be described as random variables.…”

Section: Introductionmentioning

confidence: 99%

A fuzzy random resource-constrained scheduling model with multiple projects and its application to a working procedure in a large-scale water conservancy and hydropower construction project

Zhang

2010

J Sched

View full text Add to dashboard Cite

The aim of this paper is to deal with resourceconstrained multiple project scheduling problems (rc-mPSP) under a fuzzy random environment by a hybrid genetic algorithm with fuzzy logic controller (flc-hGA), to a large-scale water conservancy and hydropower construction project in the southwest region of China, whose main project is a dam embankment. The objective functions in this paper are to minimize the total project time (that is the sum of the completion time for all projects) and to minimize the total tardiness penalty of multiple projects, which is the sum of penalty costs for all the projects. After describing the problem of the working procedure in the project and presenting the mathematical formulation model of a resourceconstrained project scheduling problem under a fuzzy random environment, we give some definitions and discuss some properties of fuzzy random variables. Then, a method of solving solution sets of fuzzy random multiple objective programming problems is proposed. Because traditional optimization techniques could not cope with the rc-mPSP under a fuzzy random environment effectively, we present a new approach based on the hybrid genetic algorithm (hGA).In order to improve its efficiency, the proposed method hybridized with the fuzzy logic controller (flc) concept for auto-tuning the GA parameters is presented. For the practical problems in this paper, flc-hGA is proved the most effective and most appropriate compared with other approaches. The computer generated results validate the effectiveness of the proposed model and algorithm in solving large-scale practical problems.

show abstract

A two-stage stochastic programming approach for project planning with uncertain activity durations

Cited by 43 publications

References 25 publications

A Conceptual Grey Analysis Method for Construction Projects

A Conceptual Grey Analysis Method for Construction Projects

Robust Optimization for the Discrete Time-Cost Tradeoff Problem with Cost Uncertainty

A fuzzy random resource-constrained scheduling model with multiple projects and its application to a working procedure in a large-scale water conservancy and hydropower construction project

Contact Info

Product

Resources

About